Closed UdonDa closed 2 years ago
sample_heun()
is deterministic by default but you can set its s_churn
argument to > 0 to do stochastic sampling. sample_lms()
is deterministic only. :)
Thank you for replying.
I missed s_churn
! Thank you!!
Sorry to bother you again.
You do not implement $S{tmin}$ and $S{tmax}$, right? https://github.com/crowsonkb/k-diffusion/blob/be6254f8e173cd2477e12b448a3375a629ba72a2/k_diffusion/sampling.py#L43
Oh I forgot to, that's all ^^;;
I just committed and pushed this. :)
Hi, @crowsonkb
I'd like to ask you the roles of your implemented samples. sample_heun represents a stochastic sampling and sample_lms represents a deterministic sampler, right?
I’m sorry if I misunderstand your implementation and Karras' theory.